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Account Manager, Pickup & Return Points (PARP)

Amazon

Account Manager, Pickup & Return Points (PARP)

Amazon

Madrid, M, ESP

·

On-site

·

Full-time

·

3w ago

Benefits & Perks

Healthcare

401(k)

Equity

Parental Leave

Mental Health

Healthcare

401k

Equity

Parental Leave

Mental Health

Required Skills

Account management

Contract negotiation

Data analysis

Stakeholder management

English

Spanish

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build a world-class delivery experience, this is your chance to make history. We are looking for a dynamic, organized self-starter to join as Account Manager for Amazon's alternative delivery solutions.

About the Role: Amazon Pickup & Return Points (PARP) is an alternative delivery solution offering convenient pickup and return options to Amazon customers. As the Account Manager, you will be responsible for managing and expanding our network in Spain and Portugal, handling major partners in retail, property management, and transportation sectors.

Key job responsibilities

Key Job Responsibilities:

  • Own and drive executive-level relationships with C-level stakeholders across partner organizations
  • Lead complex contract negotiations, including commercial terms and service level agreements
  • Conduct market analysis and forecasting to shape strategic decisions
  • Maintain complete ownership of the pickup network, including performance optimization and expansion strategy
  • Drive network development/roll-out, maintain and optimize current operations, conduct performance reviews, and manage contract renewals
  • Work cross-functionally with internal teams (Tech Ops/Installation, Accounting, Marketing, Business Planning, Legal, Product Management)
  • Lead business expansion, route-to-market strategies, and new product/service launches
  • Drive offline Marketing and Advertising campaigns with location partners
  • Ensure best-in-class customer experience across all Pickup locations

A day in the life
You'll spend your time building and maintaining relationships with C-level stakeholders at partner organizations, leading complex contract negotiations that balance commercial terms with operational excellence. Your day involves analyzing market data to identify expansion opportunities, conducting performance reviews with existing partners, and collaborating with cross-functional teams from Tech Ops to Legal to launch new locations. You'll also work directly with partners on marketing campaigns that drive customer awareness and usage of pickup points.

About the team
The PARP team is building the future of flexible delivery options for Amazon customers. We work at the intersection of logistics innovation and partnership development, collaborating with some of the largest retail and property management companies to create convenient pickup and return solutions. Our team values data-driven decision making, customer obsession, and the ability to think big while executing with precision. You'll work alongside product managers, operations specialists, and marketing teams who are all focused on scaling this growing network.

Basic Qualifications

  • Bachelor's Degree
  • 3+ years of experience in account management, project/program management, or buying
  • ighly proficient in both spoken and written English (CEFR C1)
  • Highly proficient in both spoken and written Spanish (CEFR C1)
  • Experience managing complex stakeholder relationships and contract negotiations
  • Experience with data analysis and using metrics to drive business decisions

Preferred Qualifications

  • Experience in IT/Network roll-outs or similar infrastructure projects
  • Strong business judgment and practical approach to problem-solving
  • Highly proficient in both spoken and written Portuguese (CEFR C1)
  • Experience in written and oral communication, including the ability to communicate with all levels in the organization (technical, business, executive)

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge